Shawn Chen
Principal Scientist at Viscovery
Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolShawn Chen is a results-driven principal scientist at Viscovery with nine years of experience advancing computer vision, machine learning, and deep learning, currently specializing in object detection and representation learning for retail. Based in Taipei, he combines rigorous research with practical product impact, collaborating effectively with business and development teams while thriving in independent inquiry. His background spans hardware-software integration—from Foxconn’s embedded vision systems to state-of-the-art CNNs and object-detection frameworks—enabling end-to-end prototyping and production-ready solutions. He holds a master's in machine learning with a focus on object detection from National Chiao Tung University and is pursuing a PhD at NYCU, exploring visual in-context prompting with foundation models. Shawn’s career demonstrates a track record of translating scientific insights into scalable AI-powered retail innovations and bridging the gap between research and real-world impact.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Machine Learning, Object Detection, Master's degree, Machine Learning, Object Detection at National Chiao Tung University
English, Chinese
Github Skills (35)
caffe9
weighting8
nvidia-docker8
machine-learning7
gpu7
deep-learning7
loss7
softmax7
nvidia6
cuda6
image-data6
theano6
docker6
synthetic6
recurrent-neural-network5
Programming languages (4)
Github contributions (5)
kertansul/dl-docker
Oct 2016 - Apr 2021
Contributions:14 releases, 77 commits, 62 pushes in 4 years 6 months
docker-imagedeep-learningall-in-onetheanotorch
kertansul/caffe-fast-rcnn
Nov 2016 - Nov 2017
Contributions:1 release, 1 push, 2 branches in 1 year
pytorchdeep-learningr-cnnmachine-learningcaffe
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